Abstract
An extractive value is a quality control parameter of herbal raw materials. Its determination process requires patience and consumes a lot of electrical energy. This study explored the correlation between the extractive values and UV/Vis spectral data. The spectroscopic data was analyzed using partial-least square regression and multiple linear regression to estimate the extractive values. Turmeric, andrographis, and roselle were selected as case studies due to the diverse polarities exhibited by their chemical components. The predictive models for the ethanol-soluble extractives of all herbs, as well as the water-soluble extractives of andrographis and roselle, were effectively developed. Nevertheless, the model for the water extractive of turmeric did not yield successful results. The effectiveness of the chemometric approach relied on the chemical composition of the individual herbs. The reliability of the developed models was assessed by the acceptable root mean square error of cross-validation and root mean square error of prediction. The accuracy of each model was greater than 94%. This study presented an innovative concept that had the potential applicability to other herbs.
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